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MICE — Ujaziaji wa Vigeu Vingi kwa Kutumia Milinganyo Iliyounganishwa

Ujaziaji wa Vigeu Vingi kwa Kutumia Milinganyo Iliyounganishwa (MICE) ni utaratibu wa kujirudia-rudia wa kushughulikia data zinazokosekana katika seti za data zenye vigeu vingi. Ikiwasilishwa na Stef van Buuren na Karin Groothuis-Oudhoorn kupitia kifurushi cha R cha mice (2011), algoriti hujaza kila kigeu kinachokosekana kwa kutumia modeli tofauti ya urejeshaji inayotegemea vigeu vingine vyote, ikipitia vigeu mara kwa mara hadi thamani zilizojaziwa ziungane. Matokeo yake ni seti za data m zilizokamilika ambazo huchambuliwa kando na kuunganishwa kwa kutumia kanuni za Rubin.

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Method map

The neighbourhood of related methods — select a node to explore.

Vyanzo

  1. van Buuren, S., & Groothuis-Oudshoorn, K. (2011). mice: Multivariate imputation by chained equations in R. Journal of Statistical Software, 45(3), 1–67. DOI: 10.18637/jss.v045.i03

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 2). Multivariate Imputation by Chained Equations (MICE). ScholarGate. https://scholargate.app/sw/statistics/mice-imputation

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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Imerejelewa na

ScholarGateMICE (Multivariate Imputation by Chained Equations (MICE)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/statistics/mice-imputation · Seti ya data: https://doi.org/10.5281/zenodo.20539026